Unsupervised Source Hierarchies for Low-Resource Neural Machine Translation

WS 2018 Anna CurreyKenneth Heafield

Incorporating source syntactic information into neural machine translation (NMT) has recently proven successful (Eriguchi et al., 2016; Luong et al., 2016). However, this is generally done using an outside parser to syntactically annotate the training data, making this technique difficult to use for languages or domains for which a reliable parser is not available... (read more)

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